{"id":"W3022402851","doi":"10.1093/neuros/nyaa168","title":"Letter: Twinkle, Twinkle Little STAR, How I Wonder What You Are: The Case for High-Quality, Large-Scale, “Real-World” Databases","year":2020,"lang":"en","type":"letter","venue":"Neurosurgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Quality (philosophy); Scale (ratio); Randomized controlled trial; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008479105,0.001245581,0.001993771,0.0004987216,0.0004118417,0.0006476311,0.0007516266,0.0004598492,0.000307864],"category_scores_gemma":[0.0007820423,0.000973562,0.0009801723,0.0007955436,0.0003398484,0.0006348275,0.001172576,0.003177373,0.0001264543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002333515,"about_ca_system_score_gemma":0.0001573376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002396157,"about_ca_topic_score_gemma":0.0001107654,"domain_scores_codex":[0.9931795,0.0005027112,0.001207226,0.002066313,0.00140998,0.001634263],"domain_scores_gemma":[0.9924131,0.002887958,0.001056876,0.003050162,0.0002545773,0.0003373111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001791266,0.000155742,0.001803096,0.001770898,0.0004280054,0.03570073,0.0001147983,0.000001233607,0.0001944454,0.00002164775,0.9589685,0.0006617979],"study_design_scores_gemma":[0.001481191,0.0000979362,0.0006693067,0.000446861,0.00113121,0.0006710932,0.0003258407,0.00005331454,0.0008564361,0.00002713066,0.9933657,0.0008739638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01038248,0.0007031917,0.0007886037,0.9737224,0.006653164,0.002984991,0.003477684,0.0005278328,0.0007596549],"genre_scores_gemma":[0.002572598,0.0008519706,0.001027608,0.9421862,0.01920175,0.0006651272,0.005218027,0.0004763142,0.02780037],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03502964,"threshold_uncertainty_score":0.9992715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05760108979134689,"score_gpt":0.2998406200868272,"score_spread":0.2422395302954803,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}